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DTSTAMP:20260615T013055Z
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DTSTART:20231109T090000Z
DTEND:20231109T170000Z
DESCRIPTION:# Overview\nPython is an open-source and general-purpose script
 ing language which runs on all major operating systems. It was designed to
  be easily read and written with comparatively simple syntax. Over the rec
 ent years Python has become a programming language of choice for bioinform
 atics and data analysis\, and in particular for applications that make use
  of machine learning or deep learning. However\, these applications usuall
 y require a good mastering of a few modules (such as numpy\, or pandas) th
 at can go beyond basic Python commands. This 1-day course will introduce m
 odules and recipes to unlock the potential of Python for day-to-day data e
 xploration and analysis of real-life datasets.\n\nTopics that will be cove
 red in this course include:\n* Parsing\, transforming\, and exporting data
  using pandas\n* Exploring data\, and creating useful summaries using pand
 as and numpy\n* Representing data in an efficient and impactful manner usi
 ng seaborn\n\n# Audience\nThis course is addressed to life scientists\, bi
 oinformaticians and researchers who are familiar with writing Python code 
 and core Python elements and would like to explore if further in their dai
 ly data wrangling and exploration tasks.\n\n# Learning outcomes\nAt the en
 d of this course\, participants are expected to:\n* Parse any tabulated da
 ta set in a couple of lines \n* Summarize and perform quality control on t
 heir data \n* Filter\, sub-sample or aggregate specific parts of their dat
 aset(s) \n* Generate clear visual representations to explore data and comm
 unicate their findings \n\n\n# Prerequisites\n***Knowledge / competencies*
 **\n\nThe course is targeted to life scientists\, bioinformaticians\, and 
 researchers who are already familiar with the Python programming language 
 and who have basic knowledge in statistics. Competences and knowledge leve
 ls required correspond to those taught in courses such as: [First Steps wi
 th Python in Life Sciences](https://www.sib.swiss/training/course/20230301
 _PYTFS)\, [Introduction to statistics with Python](https://www.sib.swiss/t
 raining/course/20230620_STATP) and [Introduction to statistics with R](htt
 ps://www.sib.swiss/training/course/20230206_STATR).\n**Test your skills wi
 th Python and statistics with [the quiz here](https://forms.gle/iCydNS8LUU
 km7csz7)\, before registering. We recommend 4 out of 6 correct answers.**\
 n\nA few days before the course\, registered participants will receive a s
 mall "warm-up" jupyter notebook to go through. This will be in order to he
 lp them get a quick refresher on their python know-how and check that all 
 libraries are working properly. \n\n\n***Technical***\n\nYou are required 
 to use your own laptop\, with a recent Python 3 version. \nPlease make sur
 e you have install Anaconda\, Jupyter notebook and the needed Python libra
 iries on your personal laptop before the start of the course.\nYou can fin
 d all the information for the prerequisiste installation [here](https://gi
 thub.com/sib-swiss/intermediate-python-training#prerequisite-installation)
 .\n\n\n# Application\n\n\nRegistration fees for academics are **100 CHF** 
 and **500 CHF** for for-profit companies. While participants are registere
 d on a first come\, first served basis\, exceptions may be made to ensure 
 diversity and equity\, which may increase the time before your registratio
 n is confirmed.\n\nApplications will close as soon as the places will be f
 illed up. Deadline for free-of-charge cancellation is set to **26/10/2023*
 *. Cancellation after this date will not be reimbursed. Please note that p
 articipation in SIB courses is subject to our [general conditions](https:/
 /www.sib.swiss/training/terms-and-conditions).\n\nYou will be informed by 
 email of your registration confirmation. Upon reception of the confirmatio
 n email\, participants will be asked to confirm attendance by paying the f
 ees within 5 days.\n\n# Venue and Time\nThis course will be streamed using
  Zoom.\n\nThe course will start at 9:00 and end around 17:00 CET.\n\nPreci
 se information will be provided to the participants in due time.\n\n#  Add
 itional information\nCoordination: Diana Marek\,  SIB Training Group.\n\nW
 e will recommend 0.25 ECTS credits for this course (given a passed exam at
  the end of the course).\n\nYou are welcome to register to the SIB courses
  mailing list to be informed of all future courses and workshops\, as well
  as all important deadlines using the form [here](https://lists.sib.swiss/
 mailman/listinfo/courses).\n\nPlease note that participation in SIB course
 s is subject to our [general conditions](https://www.sib.swiss/training/te
 rms-and-conditions).\n\nSIB abides by the [ELIXIR Code of Conduct](https:/
 /elixir-europe.org/events/code-of-conduct). Participants of SIB courses ar
 e also required to abide by the same code.\n\nFor more information\, pleas
 e contact [training@sib.swiss](mailto://training@sib.swiss).
SUMMARY:Data Analysis and Representation in Python
URL;VALUE=URI:https://www.sib.swiss/training/course/20231109_DARPY
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